Research in exact algorithms, heuristics and metaheuristics for solving combinatorial
optimization problems is nowadays highly on the rise. The main advantage of using exact …

This book is the result of several years of research trying to better characterize parallel
genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers …

Computational intelligence (CI) is a well-established paradigm with current systems having
many of the characteristics of biological computers and capable of performing a variety of …

We present an integrated approach that provides fault tolerance and dynamic power
management for a real-time task executing in an embedded system. Fault tolerance is …

Abstract Crow Search Algorithm (CROW) is one of the members of recently developed
swarm-based metaheuristic algorithms. Literature includes different applications of this …

The sequencing of DNA goes through a step of fragment assembly, this step is known as
DNA fragment assembly problem (FAP). Fragment assembly is considered as an NP-hard …

The term 'grid computing'is used to describe an infrastructure that connects geographically
distributed computers and heterogeneous platforms owned by multiple organizations …

This work presents a novel parallel micro evolutionary algorithm for scheduling tasks in
distributed heterogeneous computing and grid environments. The scheduling problem in …

The study of deoxyribonucleic acid (DNA) is crucial in many fields, including medicine,
biology, zoology, agriculture, and forensics. Since reading a DNA sequence is onerous …

Nucleotide sequencing finds the exact order of nucleotides present in a DNA molecule. The
correct DNA sequence is required to obtain the desired information about the complete …